https://github.com/atmtools/arts-lectures

Provides a set of practical exercises using the radiative-transfer model ARTS

https://github.com/atmtools/arts-lectures

Science Score: 36.0%

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    3 of 12 committers (25.0%) from academic institutions
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  • Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary

Keywords

atmospherice-science education radiative-transfer science

Keywords from Contributors

atmospheric-science
Last synced: 10 months ago · JSON representation

Repository

Provides a set of practical exercises using the radiative-transfer model ARTS

Basic Info
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 9
  • Open Issues: 0
  • Releases: 0
Topics
atmospherice-science education radiative-transfer science
Created over 7 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

Advanced Radiation and Remote Sensing

A practical introduction to remote sensing using the Atmospheric Radiative Transfer Simulator (ARTS).

The exercises make use of the ARTS Python API.

Required ARTS version is release 2.6.14.

ARTS requires the Miniforge3 Python environment. Installers can be downloaded from the Miniforge Github project page. If you are not familiar with the installation procedure of Miniforge, this page provides good instructions.

After you have installed Miniforge, ARTS can be installed with the following command: mamba install -c rttools pyarts

If you use Spyder, Visual Studio Code or any other IDE to run the Python scripts, make sure to select the correct interpreter path (~/miniforge3/bin/python) in your IDE.

Note that ARTS is only available for Linux and macOS. If you are on Windows or have trouble with the setup, students attending the course at Universität Hamburg can use the computers in the pool rooms or the VDI system of CEN as a fallback solution:

After logging in to a Linux virtual machine, running this command will provide a Miniforge environment with pyarts preinstalled:

source /data/share/lehre/unix/rtcourse/activate.sh

Owner

  • Name: atmtools
  • Login: atmtools
  • Kind: organization

GitHub Events

Total
  • Issues event: 6
  • Watch event: 2
  • Issue comment event: 3
  • Push event: 3
  • Pull request event: 6
  • Fork event: 4
Last Year
  • Issues event: 6
  • Watch event: 2
  • Issue comment event: 3
  • Push event: 3
  • Pull request event: 6
  • Fork event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 323
  • Total Committers: 12
  • Avg Commits per committer: 26.917
  • Development Distribution Score (DDS): 0.737
Past Year
  • Commits: 48
  • Committers: 2
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.417
Top Committers
Name Email Commits
lkluft l****t@a****9 85
Oliver Lemke o****e@g****m 65
Manfred Brath m****h@u****e 63
Lukas Kluft l****t@g****m 44
sbuehler s****r@a****9 27
olemke o****e@a****9 13
csauter c****r@a****9 8
Stefan Buehler s****r@u****e 7
jdoerr j****r@a****9 7
Stefan Buehler s****e 2
ldietrich l****h@a****9 1
tlang t****g@a****9 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 8
  • Total pull requests: 97
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 5
  • Total pull request authors: 3
  • Average comments per issue: 1.25
  • Average comments per pull request: 0.04
  • Merged pull requests: 94
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 8
  • Average time to close issues: 1 day
  • Average time to close pull requests: 26 minutes
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.25
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • brianmapes (3)
  • sismasamuel (2)
  • stefanbuehler (1)
  • zursoe (1)
  • vibinj (1)
Pull Request Authors
  • olemke (36)
  • m-brath (35)
  • lkluft (28)
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Dependencies

environment.yml pypi